Data Science Course
Part 1 You will be presented with four (4) graphs from scholarly journals in the fields of data science and informatics. For each, use the skills you have learned in the lectures and your previous experience to describe the relevant message each graph conveys. As a reminder, the textual description should cover all the most important elements of the graph. Your description for each graph should not be more than two paragraphs. Part 2 You should write two (2) paragraphs: one (1) paragraph explaining which graph you thought was the most communicative (i.e., which graph communicated its information the best); and one (1) paragraph describing which graph you thought was the least communicative or most-erroneous. Part 3 You will perform an exploratory data analysis of the low birth rate data set. You may wish to modify the R script provided from the walkthrough, use R Commander (Rcmdr), or import the data into Tableau for this assignment. Consider which variables in this data set are most important. How are those variables distributed? Provide at least 2 graphs that helped you get a feel for the data and a one paragraph discussion of your findings. Graph 1 Accuracy (%) LO 50 features 100 features 250 features Figure 1: Aidos, Fred, Initiative, et al. Graph 2 Number of Traded Stocks Number of Traded Stocks 01/01/13 05/01/13 09/01/13 01/01/14 05/01/14 09/01/14 01/01/15 05/01/15 09/01/15 Figure 2: Li and Qiao Graph 3 "big men are very soft" "freakin raging animal" "went from the ladies tees" "two dogs fighting" "being able to hit" "insanely difficult saves" "amazing shot" "he is still crazy good" "his stats are insane" Ex. contexts in r/sports soft animal ladies dogs hit difficult shot crazy insane "some soft pajamas" "stuffed animal" "lovely ladies" "hiking with the dogs" "it didn't really hit me" "a difficult time" "totally shot me down" "overreacting crazy woman" "people are just insane" Ex. contexts in r/TwoX - -10 -5 0 5 10 more positive in r/sports, more negative in r/TwoX more positive in r/TwoX, more negative in r/sports Figure 3: Hamilton, Clark, Leskovec, and Jurafsky Graph 4 - Politicians - Administration - - Associations & NGOs .. Research Insitutes Media Agenda setting Decision making Implementation Evaluation Figure 4: Fawzi Part 1 You will be presented with four (4) graphs from scholarly journals in the fields of data science and informatics. For each, use the skills you have learned in the lectures and your previous experience to describe the relevant message each graph conveys. As a reminder, the textual description should cover all the most important elements of the graph. Your description for each graph should not be more than two paragraphs. Part 2 You should write two (2) paragraphs: one (1) paragraph explaining which graph you thought was the most communicative (i.e., which graph communicated its information the best); and one (1) paragraph describing which graph you thought was the least communicative or most-erroneous. Part 3 You will perform an exploratory data analysis of the low birth rate data set. You may wish to modify the R script provided from the walkthrough, use R Commander (Rcmdr), or import the data into Tableau for this assignment. Consider which variables in this data set are most important. How are those variables distributed? Provide at least 2 graphs that helped you get a feel for the data and a one paragraph discussion of your findings. Graph 1 Accuracy (%) LO 50 features 100 features 250 features Figure 1: Aidos, Fred, Initiative, et al. Graph 2 Number of Traded Stocks Number of Traded Stocks 01/01/13 05/01/13 09/01/13 01/01/14 05/01/14 09/01/14 01/01/15 05/01/15 09/01/15 Figure 2: Li and Qiao Graph 3 "big men are very soft" "freakin raging animal" "went from the ladies tees" "two dogs fighting" "being able to hit" "insanely difficult saves" "amazing shot" "he is still crazy good" "his stats are insane" Ex. contexts in r/sports soft animal ladies dogs hit difficult shot crazy insane "some soft pajamas" "stuffed animal" "lovely ladies" "hiking with the dogs" "it didn't really hit me" "a difficult time" "totally shot me down" "overreacting crazy woman" "people are just insane" Ex. contexts in r/TwoX - -10 -5 0 5 10 more positive in r/sports, more negative in r/TwoX more positive in r/TwoX, more negative in r/sports Figure 3: Hamilton, Clark, Leskovec, and Jurafsky Graph 4 - Politicians - Administration - - Associations & NGOs .. Research Insitutes Media Agenda setting Decision making Implementation Evaluation Figure 4: Fawzi
